laptop computer showing bar graph and pie chart, person holding tablet showing calendar

You don’t need a Ph.D. to work with data

As an interlude to our ongoing series about the mechanics of data, I’d like to reflect upon a recent data workshop I attended. Organized by the Minnesota Council of Nonprofits and Karen Graham of Idealware, “Nonprofit Communicators Workshop: Wrangling Data to Drive Decisions” was a unique opportunity to hear other professionals’ perspectives and questions about… Read more

computer screen with "broken" sign on it

11 signs you might need new nonprofit technology

Nonprofits don’t always make the right investment in their technology. Sometimes, trying to save money, they use “free” software, not realizing it’s actually costing them a lot in terms of staff time. Other times, they are willing to spend money, but budget and time constraints leave them with few technology options, none of which truly… Read more

rocks by the seaside at sundown

7 soothing distractions to get you through tough nonprofit times

It’s been a stressful year in the nonprofit world and, well, everywhere. You work hard, but sometimes you need a distraction. I’ve compiled a few websites that help me de-stress when things get tough, and I hope they help you too. They might come in handy for your year-end fundraising campaign! Soy tu Aire –… Read more

MN Tech Diversity badge

The MN Tech Diversity Pledge: Tough and necessary conversations

America is experiencing necessary growing pains. Government, nonprofits and technology are at the center of this healing process. Nonprofits are an integral entry point for many people in need of education, social services, or guidance. Government is a primary source for both funding and direction, while technology is enabling unprecedented increases of efficiency and decreases… Read more

computer showing pie chart and graph

What ‘Weapons of Math Destruction’ Can Teach Nonprofits About Using Data

Data, though seemingly an objective collection of facts, can reflect human bias. Depending on what data is being collected and how it is being analyzed, it may contribute to models that harm or help. For example: Looking at one piece of data, your zip code, your bank may give you a high interest rate on… Read more